Data Scientist-Generative AI Engineer

Capgemini • Tampa, FL

19h • $90,000 - $96,000 • Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Onsite Location: Tampa, FLJob Description:AI Solutions Developer Python LangChain PyTorch TensorFlow:
We are seeking a highly skilled AI Solutions Developer with strong expertise in building end to end AIML applications using Python and modern AI frameworks such as LangChain, PyTorch and TensorFlow. The role involves designing developing and deploying intelligent solutions including LLM powered applications machine learning models automation pipelines and AIdriven integrations.Key Responsibilities:AIML Model DevelopmentDesign build and optimize machine learning and deep learning models using PyTorch, TensorFlow and related frameworksLLM Generative AI SolutionsDevelop applications powered by Large Language Models using LangChain vector databases embeddings and prompt orchestration frameworksPython Based Application DevelopmentBuild scalable AI services automation tools and backend components using PythonData Engineering PipelinesPrepare transform and manage datasets build feature pipelines and model training workflowsModel Deployment MLOpsDeploy models into production using APIs containerization Docker CICD and cloud platformsEvaluation OptimizationPerform model tuning evaluation and performance optimization to ensure accuracy efficiency and reliabilityCrossFunctional CollaborationWork closely with product engineering and business teams to translate strategic requirements into AI driven technical solutionsExperimentation ResearchStay uptodate with emerging AI technologies evaluate new tools and prototype innovative solutionsRequired Skills:Strong handson experience with Python for AIML development.Proficiency with PyTorch, TensorFlow or similar deep learning frameworks.Experience developing LLM based applications using LangChain embeddings vector databases FAISS Chroma Pinecone or similar technologies.Ability to design and implement endtoend ML pipelines training validation deployment.Strong understanding of machine learning concepts NLP and deep learning architectures.Solid experience with APIs microservices and cloudbased deployment.Strong analytical debugging and problemsolving skills.The base compensation range for this role in the posted location is:  $90,000 - $96,000/Yearly
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Requirements

• Strong handson experience with Python for AIML development.
• Proficiency with PyTorch, TensorFlow or similar deep learning frameworks.
• Experience developing LLM based applications using LangChain embeddings vector databases FAISS Chroma Pinecone or similar technologies.
• Ability to design and implement endtoend ML pipelines training validation deployment.
• Strong understanding of machine learning concepts NLP and deep learning architectures.
• Solid experience with APIs microservices and cloudbased deployment.
• Strong analytical debugging and problemsolving skills.

Responsibilities

• AIML Model DevelopmentDesign build and optimize machine learning and deep learning models using PyTorch, TensorFlow and related frameworks
• LLM Generative AI SolutionsDevelop applications powered by Large Language Models using LangChain vector databases embeddings and prompt orchestration frameworks
• Python Based Application DevelopmentBuild scalable AI services automation tools and backend components using Python
• Data Engineering PipelinesPrepare transform and manage datasets build feature pipelines and model training workflows
• Model Deployment MLOpsDeploy models into production using APIs containerization Docker CICD and cloud platforms
• Evaluation OptimizationPerform model tuning evaluation and performance optimization to ensure accuracy efficiency and reliability
• CrossFunctional CollaborationWork closely with product engineering and business teams to translate strategic requirements into AI driven technical solutions
• Experimentation ResearchStay uptodate with emerging AI technologies evaluate new tools and prototype innovative solutions

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed